MARCH1 regulates macrophage polarization and host responses against parasite infections (P1271)
Bibliographic record
Abstract
Abstract Aim: Polarization of macrophages to M1 or M2 phenotypes will dictate the effectiveness of host responses against specific infections. Membrane-associated RING-CH (MARCH1) has been shown to be implicated in the activation of antigen presenting cells and is readily induced by the anti-inflammatory cytokine IL-10. Here, we set out to investigate the role of MARCH1 in the activation of macrophages and its implication in host responses. Results: We show that MARCH1-deficient bone-marrow-derived macrophages exhibit a bias toward M1 polarization as assessed by quantitative real-time PCR, cytometric bead array (CBA) and flow cytometry. Furthermore, a macrophage population showing intermediate surface markers (CD11bint and F4/80int) between M1 and M2 was observed in the peritoneal cavity of MARCH1-deficient mice. In addition, these mice were found to be more susceptible to LPS-induced shock and exhibited higher pro-inflammatory cytokine production in their serum as monitored by CBA. Finally, MARCH1-deficient mice showed an enhanced clearing of leishmania parasites in the spleen at 21 and 28 days post infection. Conclusion: These results show that MARCH1 contributes to the polarization and functional plasticity of macrophages. Conflict of Interest disclosure: No conflict to declare.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".